Removing Barriers for Citizen Participation to Urban Innovation

Annika Wolff*, Daniel Gooch, Jose Cavero, Umar Rashid, Gerd Kortuem

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

14 Citations (Scopus)
17 Downloads (Pure)

Abstract

The potential of open data as a resource for driving citizen-led urban innovation relies not only on a suitable technical infrastructure but also on the skills and knowledge of the citizens themselves. In this chapter, we describe how a smart city project in Milton Keynes, UK, is supporting multiple stages of citizen innovation, from ideation to citizen-led smart city projects. The Our MK initiative provides support and funding to help citizens develop their ideas about making their communities more sustainable into reality. This approach encounters challenges when engaging with citizens in identifying and implementing data-driven solutions to urban problems. The majority of citizens have little practical experience with the types of data sets that might be available or possess the appropriate skills for their analysis and utilisation for addressing urban issues or finding novel ways to hack their city. We go on to describe the Urban Data School, which aims to offer a long-term solution to this problem by providing teaching resources around urban data sets aimed at raising the standard of data literacy amongst future generations. Lesson resources that form part of the Urban Data School have been piloted in one primary and three secondary schools in Milton Keynes. This work has demonstrated that with the appropriate support, even young children can begin to develop the skills necessary to work with large complex data sets. Through our two approaches, we illustrate some of the barriers to citizen participation in urban innovation and detail our solutions to overcoming those barriers.

Original languageEnglish
Title of host publicationThe Hackable City
Subtitle of host publicationDigital Media and Collaborative City-Making in the Network Society
EditorsM. de Lange, M. de Waal
Place of PublicationSingapore
PublisherSpringer
Pages153-168
Number of pages16
ISBN (Electronic)978-981-13-2694-3
ISBN (Print)978-981-13-2693-6
DOIs
Publication statusPublished - 2018

Keywords

  • Big data
  • Citizen engagement Smart cities
  • Citizen participation
  • Data literacy

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